Boston Beer (SAM) Change in Accured Expenses (2010 - 2026)
Boston Beer (SAM) posted Change in Accured Expenses of $43.34 million for Q2 2026, up 46.3% from $29.62 million a year earlier.
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Analysis
Boston Beer (SAM) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Change in Accured Expenses at Boston Beer was $33.26 million; for FY2025, it came in at $15.61 million, up 26.7% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- In prior years, Boston Beer's Change in Accured Expenses was $12.32 million in FY2024 (-11.3%), $13.88 million in FY2023, -$50.63 million in FY2022 and $35.29 million in FY2021 (+44.2%).
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses in data going back to Q3 2010.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2021, with growth of 164.4%; the weakest was Q3 2022, with a decline of 83.4%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$16.02 million (Q1 2026), $7.13 million (Q4 2025) and -$1.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 410.21 Bn | 398.84 Bn | 8.42 Bn | - |
| 2 | Coca Cola Femsa Sab De Cv | 198.20 Bn | 198.20 Bn | 2.06 Bn | - |
| 3 | Pepsico | 189.19 Bn | 147.15 Bn | 13.75 Bn | 842.00 Mn |
| 4 | Monster Beverage | 92.66 Bn | 80.91 Bn | 1.42 Bn | -114.13 Mn |
| 5 | Diageo | 58.78 Bn | 40.93 Bn | - | - |
| 6 | Ambev | 52.64 Bn | 38.05 Bn | 2.06 Bn | - |
| 7 | Coca-Cola Europacific Partners | 51.30 Bn | 44.52 Bn | - | - |
| 8 | Keurig Dr Pepper | 47.89 Bn | 48.12 Bn | 3.07 Bn | 41.00 Mn |
| 9 | Constellation Brands | 23.52 Bn | 23.07 Bn | 1.39 Bn | -190.70 Mn |
| 10 | Boston Beer | 2.02 Bn | 1.06 Bn | 269.08 Mn | -19.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | -19.41 Mn |
| Jun 27, 2026 | 43.34 Mn |
| Mar 28, 2026 | -16.02 Mn |
| Dec 27, 2025 | 7.13 Mn |
| Sep 27, 2025 | -1.19 Mn |
| Jun 28, 2025 | 29.62 Mn |
| Mar 29, 2025 | -19.95 Mn |
| Dec 28, 2024 | -16.92 Mn |
| Sep 28, 2024 | 9.20 Mn |
| Jun 29, 2024 | 42.40 Mn |
| Mar 30, 2024 | -22.36 Mn |
| Dec 30, 2023 | -15.33 Mn |
| Sep 30, 2023 | 7.86 Mn |
| Jul 1, 2023 | 34.11 Mn |
| Apr 1, 2023 | -12.76 Mn |
| Dec 31, 2022 | -42.77 Mn |
| Sep 24, 2022 | 5.41 Mn |
| Jun 25, 2022 | 24.43 Mn |
| Mar 26, 2022 | -37.71 Mn |
| Dec 25, 2021 | 17.04 Mn |
API Access
Boston Beer Change in Accured Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=SAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SAM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=SAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();